Computer Vision培训

Computer Vision培训

Computer Vision is a field that involves automatically extracting, analyzing, and understanding useful information from digital media.

NobleProg onsite live Computer Vision training courses demonstrate through interactive discussion and hands-on practice the basics of Computer Vision as participants step through the creation of simple Computer Vision apps.

Computer Vision training is available in various formats, including onsite live training and live instructor-led training using an interactive, remote desktop setup. Local Computer Vision training can be carried out live on customer premises or in NobleProg local training centers.



Computer Vision大纲

代码 名字 时长 概览
simplecv Computer Vision with SimpleCV 14小时 SimpleCV is an open source framework — meaning that it is a collection of libraries and software that you can use to develop vision applications. It lets you work with the images or video streams that come from webcams, Kinects, FireWire and IP cameras, or mobile phones. It’s helps you build software to make your various technologies not only see the world, but understand it too. Audience This course is directed at engineers and developers seeking to develop computer vision applications with SimpleCV.
opencv Computer Vision with OpenCV 28小时 OpenCV (Open Source Computer Vision Library: is an open-source BSD-licensed library that includes several hundreds of computer vision algorithms. Audience This course is directed at engineers and architects seeking to utilize OpenCV for computer vision projects
patternmatching Pattern Matching 14小时 Pattern Matching is a technique used to locate specified patterns within an image. It can be used to determine the existence of specified characteristics within a captured image, for example the expected label on a defective product in a factory line or the specified dimensions of a component. It is different from "Pattern Recognition" (which recognizes general patterns based on larger collections of related samples) in that it specifically dictates what we are looking for, then tells us whether the expected pattern exists or not. Audience     Engineers and developers seeking to develop machine vision applications     Manufacturing engineers, technicians and managers Format of the course     This course introduces the approaches, technologies and algorithms used in the field of pattern matching as it applies to Machine Vision.
marvin Marvin Image Processing Framework - creating image and video processing applications with Marvin 14小时 Marvin is an extensible, cross-platform, open-source image and video processing framework developed in Java.  Developers can use Marvin to manipulate images, extract features from images for classification tasks, generate figures algorithmically, process video file datasets, and set up unit test automation. Some of Marvin's video applications include filtering, augmented reality, object tracking and motion detection. In this course participants will learn the principles of image and video analysis and utilize the Marvin Framework and its image processing algorithms to construct their own application. Audience     Software developers wishing to utilize a rich, plug-in based open-source framework to create image and video processing applications Format of the course     The basic principles of image analysis, video analysis and the Marvin Framework are first introduced. Students are given project-based tasks which allow them to practice the concepts learned. By the end of the class, participants will have developed their own application using the Marvin Framework and libraries.
pythoncomputervision Computer Vision with Python 7小时 Computer Vision is a field that involves automatically extracting, analyzing, and understanding useful information from digital media. Python is a high-level programming language famous for its clear syntax and code readibility. In this instructor-led, live training, participants will learn the basics of Computer Vision as they step through the creation of simple Computer Vision apps using Python. By the end of this training, participants will be able to: Understand the basics of Computer Vision Use Python to implement Computer Vision tasks Build their own Computer Vision apps using Python Audience Python programmers interested in Computer Vision Format of the course Part lecture, part discussion, exercises and heavy hands-on practice


课程日期价格【远程 / 传统课堂】
Computer Vision with OpenCV - 上海 - 六八八广场星期一, 2018-03-12 09:30¥41310 / ¥42510
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读者本课程针对寻求使用SimpleCV开发计算机视觉应用程序的工程师和开发人员。 学生被赋予基于项目的任务,使他们能够实践所学的概念。 在本课程中学员将学习图像和视频分析的原理,并利用Marvin框架及其图像处理算法来构建自己的应用程序。 Marvin是一个用Java开发的可扩展的,跨平台的开源图像和视频处理框架。 开发人员可以使用Marvin来操作图像,从图像中提取特征用于分类任务,算法生成图形,处理视频文件数据集以及设置单元测试自动化。